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Manager Supply Chain

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Leonardo DRS
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 115000 USD Yearly USD 90000.00 115000.00 YEAR
Job Description & How to Apply Below

Manager Supply Chain

Location:

Arlington, VA 22202, Largo, FL 33773, Germantown, MD 20876, Frederick, MD 21703, Tampa, FL 33607, Fort Walton Beach, FL 32548, High Ridge, MO 63049, Beavercreek, OH 45431, Washington, DC 20003, Danbury, CT 06810‑8147, West Plains, MO 65775, Menomonee Falls, WI 53051, Clearwater, FL 33762, Austin, TX 78727, Madison, WI 53704, Fitchburg, MA 01420, Melbourne, FL 32935, Dallas, TX 75243

Job

Leonardo DRS, Inc. is an innovative and agile provider of advanced defense technology to U.S. national security customers and allies around the world. We specialize in the design, development and manufacture of advanced sensing, network computing, force protection, electric power and propulsion, and other leading mission‑critical technologies. Our innovative people are leading the way in developing disruptive technologies for autonomous, dynamic, interconnected, and multi‑domain capabilities to defend against new and emerging threats.

For more information and to learn more about our full range of capabilities, visit

Job Summary

Reporting to the Corporate VP of Supply Chain, the Manager, Supply Chain Tools & Analytics owns and champions Leonardo DRS’s enterprise supply chain digital toolset. This hands‑on role manages the full tool lifecycle—from requirements and design through releases, maintenance, training, and continuous improvement—while bridging supplier data interchange, digital product ownership, and analytics. The position delivers decision‑grade insight on supplier performance and risk, program impacts, commodity trends, and obsolescence, leveraging advanced Power BI and evolving AI capabilities.

The role is remote/hybrid with limited travel to DRS sites.

Job Responsibilities

Enterprise Tool Ownership — Supplier Portal and Supplier Central

  • Own the product roadmap/backlog and release plan in coordination with IT, serving as the primary interface for supply chain stakeholders and external supplier users.
  • Lead module and workflow design/enhancements; manage configuration governance, revision control, documentation, and release notes.
  • Develop and deliver internal/external training, job aids, and onboarding materials to drive adoption.

Power BI Dashboard Governance

  • Build, maintain, and govern enterprise Power BI dashboards for supplier performance, spend, risk illumination, commodity trends, and program impact.
  • Own data‑model stewardship, metric definitions, and data integrity; maintain working knowledge of Data Mart, queries, and data availability/issues tied to BU processes.
  • Translate stakeholder needs into scalable reporting, benchmark BU best practices, and manage/prioritize enhancements via structured change control.

Supplier Scorecard & Supplier Performance Intelligence

  • Own the supplier scorecard framework (KPIs, definitions, scoring methodology) and roadmap for enhancements.
  • Develop early‑warning performance and risk signals (quality, delivery, financial, geopolitical) and support BUs with trend analysis and scorecard/data troubleshooting.

AI Automation & Digital Transformation

  • Identify and implement automation opportunities across supply chain workflows (e.g., RFQ, requisition‑to‑PO, compliance) to reduce transactional burden and cycle time.
  • Lead the Supply Chain AI User Group to share best practices and accelerate deployment of AI solutions using internal tools and integrated data.
  • Deploy and improve AI‑enabled supplier risk capabilities responsibly while championing digital adoption and continuous improvement.

Commodity Pricing & Market Trend Insights

  • Develop and maintain commodity pricing and market insight capabilities using approved third‑party sources (e.g., IHS) and internal spend/category data.
  • Integrate external signals into recurring market intelligence packages for sourcing and leadership (monthly/quarterly).

Supply Chain Risk Illumination

  • Deploy and enhance an AI Risk Illuminator with IT to enable early‑warning visibility to external/internal risks and program/material impacts.
  • Support “where‑used” and sub‑tier visibility capabilities to improve insight into OEM dependencies and critical materials exposure.

Obsolescence Management

  • Own/support obsolescence inputs, alert workflows,…
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